Azure AI Engineer Data Scientist

About Company Droisys is an innovative technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth. We are always on the lookout for exceptional talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters Job Title : Azure AI Engineer – Data Scientist Job Location : Bellevue, WA [Onsite Work] Rate: $60/hr on w2 and $70/hr on c2c Duration 12 Months [Potential Extensions] Job description We are seeking an experienced Azure AI Engineer Administrator with 5 years of expertise in managing deploying and optimizing AI solutions across traditional AI Propensity Models Forecasting ML algorithms and Generative AI capabilities The role requires deep knowledge of Azure AI Foundry advanced NLP models BERT ROUGE and generative AI frameworks like Azure OpenAI Copilot Studio Agent and Agent to Agent orchestration as well as strong proficiency in AI Core algorithms XGBoost Bayesian Random Forest and modern MLOps practices The ideal candidate will ensure scalable secure and high performing AI solutions that align with business objectives • • Design implement and administer AI solutions on Azure AI Foundry for enterprise scale workloads • • Build and finetune Generative AI models leveraging Azure OpenAI BERT ROUGE Mistral Claude Sonnet Anthropic • • Develop AI workflows using Copilot Studio Agents Agent to Agent communication and MCP Model Control Protocol • • Implement and optimize AI Core algorithms such as XGBoost Bayesian networks and Random Forest for predictive analytics and forecasting • • Ensure end to end model lifecycle management including training deployment monitoring and retraining • • Integrate Generative AI capabilities into enterprise applications using secure and scalable architectures • • Collaborate with data scientists engineers and business teams to convert business needs into AI solutions • • Utilize MLOps pipelines for CICD model versioning and automated deployments in Azure • • Monitor performance capacity and cost metrics for AI infrastructure and optimize as needed • • Enforce AI governance security compliance and responsible AI principles across all solutions • • 5 years of hands on experience in AIML development and administration within Azure ecosystem • • Strong expertise in Azure AI Foundry BERT ROUGE and Generative AI frameworks • • Proficiency with AI Core algorithms such as XGBoost Bayesian models and Random Forest • • Experience working with Azure OpenAI Copilot Studio Agent Agent to Agent orchestration and MCP • • Strong programming skills in Python and experience with frameworks like PyTorch TensorFlow • • Knowledge of model evaluation techniques bias detection and ethical AI principles • • Handson experience in MLOps CICD for AI and infrastructure automation in Azure • • Understanding of vector databases embeddings and RAG Retrieval Augmented Generation workflows • • Bachelors or Masters degree in Computer Science AIML Data Science or related field • • Microsoft Certified Azure AI Engineer Associate or equivalent certification • • Proven experience in finetuning LLMs and working with multiagent AI systems • • Familiarity with Azure Machine Learning Copilot extensibility and plugin development • • Exposure to AI observability tools bias mitigation techniques and compliance frameworks • • Strong analytical and communication skills to engage with technical and nontechnical stakeholders Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.